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基于核近邻非参数回归的航材消耗预测 被引量:3

Prediction of Aviation Material Consumption Based on Nonparametric Regression of Nuclear Nearest Neighbor
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摘要 针对某型直升机服役时间短、机型较新、备件采购周期长等特点,使用核近邻非参数回归对平稳型航材建立消耗预测模型。对比多种回归方法,证明基于非参数回归的航材消耗模型对区间预测具有较好的效果。 According to the characteristics of a certain type of cited helicopter, such as short service time, relatively new model and long spare parts procurement cycle, the non-parametric regression algorithm was used to establish the aviation material consumption model. Based on the classification of aviation materials, the consumption prediction model of stationary aviation materials was established by using nonparametric regression of nuclear nearest neighbor. By comparing various regression methods, it is proved that the model based on non-parametric regression has a good effect on interval prediction.
作者 薛永亮 陈振林 XUE Yongliang;CHEN Zhenlin(Naval Aviation University,Yantai Shandong 264001,China)
机构地区 海军航空大学
出处 《海军航空工程学院学报》 2019年第6期516-520,共5页 Journal of Naval Aeronautical and Astronautical University
关键词 航材消耗 预测 非参数回归 aviation material consumption prediction nonparametric regression
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